VICMpred: An SVM-based Method for the Prediction of Functional Proteins of Gram-negative Bacteria Using Amino Acid Patterns and Composition-Reference-Cited by-同舟云学术

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VICMpred: An SVM-based Method for the Prediction of Functional Proteins of Gram-negative Bacteria Using Amino Acid Patterns and Composition

Published:2006 Issue:1 Volume:4 Page:42-47
ISSN:1672-0229
Container-title:Genomics, Proteomics & Bioinformatics
language:en
Short-container-title:Genomics, Proteomics & Bioinformatics

Author:

Saha Sudipto,Raghava G.P.S.

Funder

Council of Scientific and Industrial Research (CSIR) and Department of Biotechnology (DBT), Government of India

Publisher

Elsevier BV

Subject

Computational Mathematics,Genetics,Molecular Biology,Biochemistry

Reference20 articles.

1. Practical limits of function prediction;Devos;Proteins,2000

2. Automatic prediction of protein function;Rost;Cell. Mol. Life Sci.,2003

3. Prediction of functional sites by analysis of sequence and structure conservation;Panchenko;Protein Sci.,2004

4. Prediction of Saccharomyces cerevisiae protein functional class from functional domain composition;Cai;Bioinformatics,2004

5. ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST;Bhasin;Nucleic Acids Res.,2004

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